The graph represents a network of 19,680 Twitter users whose recent tweets contained "Food Security", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 13 June 2019 at 02:07 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 34-minute period from Thursday, 06 June 2019 at 01:17 UTC to Wednesday, 12 June 2019 at 22:52 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 19680
Unique Edges : 21349
Edges With Duplicates : 1684
Total Edges : 23033
Self-Loops : 2157
Reciprocated Vertex Pair Ratio : 0.0148338110323327
Reciprocated Edge Ratio : 0.0292339708651273
Connected Components : 2388
Single-Vertex Connected Components : 1074
Maximum Vertices in a Connected Component : 12405
Maximum Edges in a Connected Component : 15172
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.962409
Graph Density : 5.21118009086489E-05
Modularity : 0.827321
NodeXL Version : 1.0.1.393
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[5590] spoiled,food [5358] food,nooses [5219] detention,centers [5145] found,cells [5145] ice,detention [5136] nooses,found [5135] cells,medical [5135] medical,attention [5135] attention,psychological [5135] psychological,torture Top Word Pairs in Tweet in G1:
[4961] spoiled,food [4960] food,nooses [4954] nooses,found [4954] found,cells [4954] cells,medical [4954] medical,attention [4954] attention,psychological [4954] psychological,torture [4954] torture,ice [4954] ice,detention Top Word Pairs in Tweet in G2:
[1546] american,taxpayer [1545] republicans,congress [1545] congress,trump [1545] trump,travel [1545] travel,golf [1545] golf,course [1545] course,ireland [1545] ireland,using [1545] using,american [1545] taxpayer,dollars Top Word Pairs in Tweet in G3:
[597] food,security [130] spoiled,food [110] nooses,cells [107] detention,centres [88] food,nooses [86] cells,found [85] found,migrant [85] migrant,detention [58] food,bank [53] climate,change Top Word Pairs in Tweet in G4:
[435] food,security [131] food,safety [65] climate,change [60] draw,attention [60] attention,inspire [60] inspire,action [60] action,help [60] help,prevent [38] without,food [35] security,without Top Word Pairs in Tweet in G5:
[682] global,ocean [682] ocean,treaty [681] food,security [680] strong,global [679] treaty,protects [679] protects,wildlife [679] limits,climate [679] ensures,food [677] wildlife,limits [677] climate,change Top Word Pairs in Tweet in G6:
[59] social,security [24] food,stamps [13] food,security [12] spoiled,food [8] detention,centres [8] nooses,cells [7] health,care [7] security,medicare [7] potus,realdonaldtrump [7] caught,serving Top Word Pairs in Tweet in G7:
[190] food,security [74] affordable,housing [74] housing,manufacturing [71] women,girls [71] unique,barriers [70] girls,face [70] face,unique [70] barriers,health [70] health,care [70] care,affordable Top Word Pairs in Tweet in G8:
[228] national,security [174] climate,change [165] change,affects [165] infrastructure,transportation [164] affects,health [164] health,food [164] food,infrastructure [164] transportation,jobs [164] jobs,immigration [164] immigration,national Top Word Pairs in Tweet in G9:
[183] wnc,paul [183] paul,crisp [183] crisp,drove [183] drove,school [183] school,bus [183] bus,37 [183] 37,years [183] years,drove [183] drove,taxi [183] taxi,four Top Word Pairs in Tweet in G10:
[188] world,unjust [188] unjust,unfair [188] unfair,yuck [188] yuck,fucking [188] fucking,building [188] building,burnt [188] burnt,down [188] down,millions [188] millions,dollas [188] dollas,pledged Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: